Principal Software Development Engineer, Mlops

Workday

Toronto, ON, CA
Base: $168,000 - $252,000 cad; bonus/equity: eligi...
Fully remote
Mlops platform development
Python and go programming
Infrastructure as code with terraform
As a Principal Software Engineer, you will help develop ML-powered features and experiences for every user across our HR & Talent product portfolio

Job Summary

  • As a Principal Software Engineer, you will help develop ML-powered features and experiences for every user across our HR & Talent product portfolio.
  • You will apply modern MLOps, CloudOps, and data engineering stacks to enable development, training, deployment, and lifecycle management of a variety of ML capabilities.
  • Workday offers a flexible work approach combining in-person and remote time, supporting a culture rooted in integrity, empathy, and shared enthusiasm.

Matching Summary

As a Principal Software Engineer, you will help develop ML-powered features and experiences for every user across our HR & Talent product portfolio.

Salary

Base: $168,000 - $252,000 CAD; Bonus/Equity: Eligible for Workday Bonus Plan and stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • MLOps platform development
  • Python and Go programming
  • Infrastructure as code with Terraform
  • Kubernetes cluster management
  • Cloud computing with AWS and GCP
  • Microservices and API development
  • Kubeflow for ML pipelines

Nice-to-have

  • Familiarity with LangChain and LangSmith
  • Leadership and mentoring experience
  • Strong collaboration with cross-functional teams
  • Focus on security and compliance
  • Creative problem-solving skills
  • Experience with monitoring and alerting systems
  • Knowledge of agentic AI systems

Key Requirements

  • 6 or more years industry experience
  • Bachelor’s or Master’s in Computer Science or Engineering
  • Experience with scalable AI/ML platform design
  • Proficiency in Python, Go, and Terraform
  • Experience running Kubernetes in production
  • Deep understanding of cloud infrastructure
  • Experience with CI/CD workflows
  • Familiarity with AWS and GCP
  • Understanding of agentic AI concepts

Work Rights

Not specified

Tailored Resume

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